Measuring Rotation Rates of Objects Using Machine Vision
I've recently submitted a machine vision paper to arxiv (my first!), co-authored with Daniel Raviv and Juan Yepes of Florida Atlantic University, about an analytical method for measuring the angular velocity of rotating objects. If you can track one point on an object reliably you can estimate the rotation rate, given that you have an orthographic camera at your disposal. Okay, they don't exist in reality! But if the object is far enough away the approximation provided by a real camera is good enough to be useful. Please read “A Vision-Based Closed-Form Solution for Measuring the Rotation Rate of an Object by Tracking One Point” at arxiv.org.